Posts tagged “big content”

My interactions article Content, The Once And Future King has just come out. Here are some other examples, articles, resources, and so on that build on the topics of Big Content and Big Data that I explored.

After Buchanan and Goodman got sued for copyright violations, they exploited the situation for more publicity, by releasing Buchanan and Goodman on Trial, in which the district attorney was portrayed by Little Richard. Their actual trial turned out even better, establishing a precedent for parodic fair use quotations of hit records, as long as copyright holders were compensated. Goodman would then spend several decades making more “break-in” records, where snippets from Top 40 hits were used to “break in” with commentary on the action. Because the records exploited contemporary news events and pop cultural trends, Goodman’s break-in records sound like little time capsules, inspired by topics as varied 50s folk music (The Banana Boat Story), Sputnik (Santa and the Satellite), Westerns (The Flying Saucer Goes West), monster movies (Frankenstein ’59/Frankenstein Returns), the Cold War (Russian Bandstand), TV cop shows (the Touchables in Brooklyn), the Berlin Wall (Berlin Top Ten), the 1968 Democratic convention (On Campus), the Apollo moon landing (Luna Trip), blaxploitation (Superfly Meets Shaft), Richard Nixon (Watergrate), and gas shortages (Energy Crisis ’74)

The amount of data in our world has been exploding, and analyzing large data sets-so-called big data-will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey’s Business Technology Office. Leaders in every sector will have to grapple with the implications of big data, not just a few data-oriented managers. The increasing volume and detail of information captured by enterprises, the rise of multimedia, social media, and the Internet of Things will fuel exponential growth in data for the foreseeable future

Rising piles of data have long been a challenge. In the late 19th century, census takers struggled with how to count and categorize the rapidly growing United States population. An innovative breakthrough came in time for the 1890 census, when the population reached 63 million. The data-taming tool proved to be machine-readable punched cards, invented by Herman Hollerith; these cards were the bedrock technology of the company that became I.B.M.

Being an ethnographer makes me more of a “small data” person. It seems counter-intuitive at first, but I find there are good, sound reasons to sometimes forgo the opportunity to collect more data. This gets to ever present questions about how much is sufficient when doing qualitative or, more specifically, ethnographic research (i.e. how many people to interview? how many months to spend in the field? etc). I find memory limits are an important bounding factor. Can I remember key points from each interview, distinctive elements of that individual’s story? Can I recall the setting and some of the things I observed there? Reading a transcript or my field notes, can I put myself back in that time and place? To have good recall and mastery of your data helps you to move through it with agility and to draw the kinds of surprising thematic connections across data that make ethnographic work, at times, profound.

Designing for Big Data [Jeffrey Veen] – A 20-minute talk from Web2.0 Expo in San Francisco. Veen describes how “technology has enabled massive amounts of data to be recorded, stored, and analyzed. Putting those things together has resulted in some fascinating innovations that echo data visualization work that’s been happening for centuries.”

Our latest interactions column Content, the Once and Future King has just been published.

Christian Marclay’s The Clock is a 24-hour film, in which each minute of the 24 hours is depicted by images of clocks (or other depictions of the time) from other movies. Creating The Clock was an intensive, meticulous process. For at least several months, as many as six people spent their days watching DVDs and ripping potential clips; Marclay spent three years working at his computer for 10 to 12 hours a day. With at least 90 years of cinematic history to work with, and perhaps 90,000 movies available, there is a substantial corpus of moving images to draw from. Let’s call this Big Content.